Scheike Thomas H, Holst Klaus K, Hjelmborg Jacob B
Department of Biostatistics, University of Copenhagen, Øster Farimagsgade 5, 1014, Copenhagen K, Denmark,
Lifetime Data Anal. 2014 Apr;20(2):210-33. doi: 10.1007/s10985-013-9244-x. Epub 2013 Feb 2.
There has been considerable interest in studying the magnitude and type of inheritance of specific diseases. This is typically derived from family or twin studies, where the basic idea is to compare the correlation for different pairs that share different amount of genes. We here consider data from the Danish twin registry and discuss how to define heritability for cancer occurrence. The key point is that this should be done taking censoring as well as competing risks due to e.g. death into account. We describe the dependence between twins on the probability scale and show that various models can be used to achieve sensible estimates of the dependence within monozygotic and dizygotic twin pairs that may vary over time. These dependence measures can subsequently be decomposed into a genetic and environmental component using random effects models. We here present several novel models that in essence describe the association in terms of the concordance probability, i.e., the probability that both twins experience the event, in the competing risks setting. We also discuss how to deal with the left truncation present in the Nordic twin registries, due to sampling only of twin pairs where both twins are alive at the initiation of the registries.
对特定疾病遗传的程度和类型进行研究已引发了相当大的兴趣。这通常源于家族或双胞胎研究,其基本思路是比较共享不同数量基因的不同配对之间的相关性。我们在此考虑来自丹麦双胞胎登记处的数据,并讨论如何定义癌症发生的遗传力。关键在于,这样做时应将审查以及例如因死亡导致的竞争风险考虑在内。我们在概率尺度上描述双胞胎之间的相关性,并表明可以使用各种模型来合理估计同卵双胞胎和异卵双胞胎配对中可能随时间变化的相关性。随后,可以使用随机效应模型将这些相关性度量分解为遗传和环境成分。我们在此提出几种新颖的模型,这些模型本质上是根据一致性概率来描述关联的,即在竞争风险情况下双胞胎双方都经历该事件的概率。我们还讨论了如何处理北欧双胞胎登记处中存在的左截断问题,这是由于仅对登记开始时双胞胎双方都存活的双胞胎配对进行抽样所致。